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Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets

Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets Jian Yang and colleagues propose a method that integrates summary data from GWAS and eQTL studies to identify genes whose expression levels are associated with complex traits because of pleiotropy. They apply the method to five human complex traits and prioritize 126 genes for future functional studies. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Nature Genetics Springer Journals

Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets

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Publisher
Springer Journals
Copyright
Copyright © 2016 by Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.
Subject
Biomedicine; Biomedicine, general; Human Genetics; Cancer Research; Agriculture; Gene Function; Animal Genetics and Genomics
ISSN
1061-4036
eISSN
1546-1718
DOI
10.1038/ng.3538
Publisher site
See Article on Publisher Site

Abstract

Jian Yang and colleagues propose a method that integrates summary data from GWAS and eQTL studies to identify genes whose expression levels are associated with complex traits because of pleiotropy. They apply the method to five human complex traits and prioritize 126 genes for future functional studies.

Journal

Nature Genetics – Springer Journals

Published: Mar 28, 2016

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